GRACE Orchestrator MCP

GRACE Orchestrator MCP

MCP server orchestrating local multi-agent workflows with gated lifecycle, handoff events, and host-level continuation.

Category
访问服务器

README

GRACE Orchestrator MCP

Local MCP control-plane for the Codex → GLM → worker → acceptance workflow.

This repository contains the reusable host/tooling layer. Product repositories keep their own GRACE artifacts, policies, and runtime contracts; this server only owns workflow ledger state, gate execution, handoff events, and host continuation plumbing.

Mimo is the single local gateway for all non-Codex models. The server records the workflow ledger, accepts only server-bound roles, derives Git evidence, creates a detached worktree per dispatched Mimo session, and launches only fixed Mimo CLI argv. A model launch is evidence, never a package submission or acceptance decision.

Local development

py -3.11 -m venv .venv
.\.venv\Scripts\python -m pip install -e ".[dev]"
.\.venv\Scripts\python -m pytest

Set GRACE_MCP_HOME in consuming projects to this checkout when docs or MCP configuration need to refer to the external tool source.

STDIO identity

Set the identity before starting the server. It is deliberately process-bound, so no MCP tool can elevate itself by supplying a role argument.

$env:GRACE_ORCHESTRATOR_ACTOR_NAME = "codex"
$env:GRACE_ORCHESTRATOR_ACTOR_ROLE = "codex"
$env:GRACE_ORCHESTRATOR_DATA_DIR = "D:\path\to\grace-orchestrator-state"
.\.venv\Scripts\grace-orchestrator-mcp

Logs use stderr; stdout is reserved for MCP JSON-RPC.

Keep GRACE_ORCHESTRATOR_DATA_DIR outside the repository: Mimo dispatches create isolated Git worktrees below that directory.

Mimo setup

  1. Register every non-Codex agent with its role capabilities and its exact Mimo provider/model identifier through agent.register.
  2. As Codex, call mimo.connection_profile for each registered agent. Add the returned STDIO fields through Mimo's MCP-server setup. Do not reuse the Codex server process: every Mimo agent needs its own profile because actor identity is bound on process start.
  3. GLM (or an explicit Codex fallback) assigns a work package, then calls mimo.launch_package in tui mode only. The server creates a separate worktree and briefing. TUI sessions open independently; multiple sessions do not share a checkout. Once a TUI window closes, GLM records that observation with mimo.record_tui_closed; this releases only the dispatch lock, never accepts the package.

The bridge intentionally does not write Mimo's global configuration, supply credentials, bypass Mimo permission prompts, apply a patch, or auto-accept a package. Run one human-approved non-production package after configuration to establish live-provider evidence.

Worker handoff and controller wait

Dispatch does not end controller responsibility. Every launch writes WORKER_STARTED; a valid submission.create writes a durable WORKER_READY_FOR_REVIEW event and a controller-readable report. Workers must use handoff.report_worker_event for WORKER_BLOCKED, WORKER_NEEDS_CONTROLLER, or WORKER_FAILED; controller review writes CONTROLLER_ACCEPTED or CONTROLLER_REWORK_REQUESTED.

Events and reports live below the configured external data directory at runs/project-<id>/task-<id>/package-<id>/, never in a product worktree. A live Codex controller reads the current count with handoff.list_events and then blocks through handoff.wait_for_event. The wait is a bounded, cross-process Windows named-event wait rather than a blind polling timer; it returns only when a new durable event appears or its explicit timeout expires. The controller then reviews or escalates and renews the wait while the package is still open. A host that has completely ended a Codex conversation must provide its own continuation/wakeup integration; the MCP server cannot revive an already-terminated client process.

Host-level continuation

handoff.wait_for_event is the live-controller wait path. It only works while the controller session is alive and actively waiting inside an MCP tool call. Host-level continuation is the external recovery path for the opposite case: the runtime/host process watches durable files under GRACE_ORCHESTRATOR_DATA_DIR\runs\... and starts controller review from those files after a worker emits WORKER_READY_FOR_REVIEW, WORKER_BLOCKED, WORKER_FAILED, or WORKER_NEEDS_CONTROLLER.

Start it from the repository root:

$env:GRACE_ORCHESTRATOR_DATA_DIR = "D:\path\to\grace-orchestrator-state"
$env:GRACE_CODEX_START_COMMAND = 'codex "{prompt_file}"'
.\scripts\Start-GraceHostContinuation.ps1

Use -Once for a single scan during tests or manual recovery. The supervisor keeps its cursor under GRACE_ORCHESTRATOR_DATA_DIR\host-continuation\cursor.json, writes per-run host events to runs\project-<id>\task-<id>\package-<id>\host-events.ndjson, and uses per-run directory locks under host-continuation\locks\ so two host instances do not start duplicate controller continuation for the same run.

Continuation has two modes. If per-run controller metadata records a usable controller_session_id and GRACE_CODEX_RESUME_COMMAND is configured, the host attempts that resume command first. Resume syntax is Codex-version and host-version dependent, so the command is deliberately configured instead of hardcoded. If resume is unavailable or fails, the reliable baseline is logical continuation: the host writes a compact controller prompt and launches GRACE_CODEX_START_COMMAND. The configured command can use placeholders such as {prompt_file}, {data_dir}, {run_id}, {task_id}, {work_package_id}, {report_path}, {worktree_path}, and {controller_session_id}. The prompt file path is also supplied through GRACE_CONTROLLER_CONTINUATION_PROMPT_FILE.

The host emits these durable host events: HOST_CONTINUATION_DETECTED, HOST_CONTROLLER_RESUME_ATTEMPTED, HOST_CONTROLLER_RESUME_STARTED, HOST_CONTROLLER_RESUME_FAILED, and HOST_CONTROLLER_LOGICAL_CONTINUATION_STARTED. These are workflow wakeup evidence only. They do not accept a package, do not mutate product runtime truth, and do not prove that a closed Codex session was revived. A closed session is resumed only if the configured resume command really starts.

Enforcement gates

The server is a gatekeeper, not only a ledger. It exposes:

  • gate.contract_discovery: reads current GRACE/code-adjacent sources and returns contracts, M-* refs, V-M-* refs, rule refs, and blocking issues.
  • gate.validate_execution_packet: rejects worker packets missing task, module, verification, scope, contracts-read, test surface, rollback, command, stop-condition, or compact-report fields.
  • gate.validate_worker_report: rejects worker reports missing files read, files changed, contract delta, exact command results, scaffolded/wired/ verified split, unverified gaps, protected-test scope statement, or delta proposals.
  • gate.agent_infra_lint: validates AGENTS/GRACE enforcement files without executing a shell command.
  • gate.acceptance_review: projects whether a task currently satisfies package acceptance, worker report, and agent-infra prerequisites.

workpackage.create, submission.create, GLM acceptance, and Codex final acceptance call these validators internally. A client can preflight with the gate.* tools, but cannot bypass the same checks by calling the lifecycle tools directly.

Transactional hooks

The server has a trusted in-process HookRegistry, not a public scripting surface. It audits and revalidates the relevant scope after task, artifact, package, submission, and review mutations. A rejected GLM package enables only its assigned Pro repair path; the Codex final gate requires all canonical GRACE artifacts; a Codex acceptance closes the task atomically.

gate.promote is an internal EventBus event and intentionally is not an MCP tool. Hooks do not accept shell commands, scripts, or client-defined handlers.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选